Back to leaderboard

qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
80 vs 57
Hardware Fit
98 vs 61
Quality Score
72 vs 55

Hardware

qwen3-vl:30b qwen3.5:9b
MachineASUSAZW GTR Pro
CPUIntel Core™ Ultra 9 285KAMD RYZEN AI MAX+ 395
Cores2432
RAM47 GB125 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsAMD Radeon 8060S
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

qwen3-vl:30b qwen3.5:9b
Tokens/sec208.930.3
First chunk102 ms205 ms
TTFT684 ms8.7 s
Load time0.1 s5.6 s
Memory usage22.0 GB18.8 GB
Memory %47%15%

HW Fit Score Breakdown

qwen3-vl:30b

Speed
50/50
TTFT
20/20
Memory
28/30

qwen3.5:9b

Speed
30/50
TTFT
1/20
Memory
30/30

Quality

qwen3-vl:30b

Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.5:9b

Reasoning
17/20
Coding
2/20
Instruction
7/20
Structured
8/15
Math
12/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong
View qwen3-vl:30b details | View qwen3.5:9b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest